I want to share what I’ve accomplished as projects, in AI, in software engineering – and maybe some other areas too. 🚀 This is not an exhaustive list, but it’s a start! I’ll be updating this page regularly with new projects and articles, so keep an eye out for more. 🌟 I’m also working on a few projects I won’t be able to share here but I will publish some articles explaining them as soon as possible. Stay tuned! 🚧
In Progress
Here are some of the projects I’m currently working on:
A web tool to anonymize text before feeding it to a large language model (LLM): I’m working on a tool that uses techniques like transfer learning and model quantization to run a large language model directly in the browser. It’s a fun project that I can’t wait to complete and share with you all!
A tool for kmer base error correction in DNA sequences using DQL: I’m developing a tool that uses Deep Q-Learning to correct errors in DNA sequences. It’s a challenging project, which on I’m working with a friends, student in Bioinformatics.
FlapEgg: I’m contributing to a project that uses EEG signals to control a game. It’s a project of the AI club of my university, and I’m excited to see where it goes!
And there’s more to come! 🚀
In AI
It’s been a while since I started my journey into AI. Here are some of the projects I’ve worked on:
A Tool to Estimate Model Memory Usage on GPU: I built a tool that estimates the memory required to load a model onto a GPU. It’s a handy tool for developers who want to how much resources they need to run a model on their GPU from Hugging Face for example.
Graphic elements detection using Yolov8: I built a project that detects graphic elements in images using Yolov8. It was a fun class project that helped me learn more about object detection. I’m working on comparing the performances of Yolov8 and DETR on the same task. I will publish an article about it soon. Stay tuned!
Bert vs Falcon on questions answering: I compared the performances of Bert and Falcon on a question-answering task. I used zero-shot promptings to evaluate Falcon on generative tasks and Bert on extractive tasks.
and it’s just the beginning! 🚀
In software engineering
Before starting my master’s degree in Artificial Intelligence, I worked on a lot of projects in software engineering. Here are some of them that I found interesting:
A blog using Vue.js: I built a blog using Vue.js, SemanticUi, NodeJs, ExpressJs and MongoDB. It was a fun project that helped me learn more about all these technologies. I built a frontend and a backend for this project.
I tried to clone Trello 😅: I tried to build a Trello clone using React and Laravel. It was a fun project that I didn’t finish but I learned a lot about React and Laravel and how to setup live messaging between frontend and backend using Laravel Echo.
Larangular: a Laravel and Angular project: I built an invoice app using Laravel and Angular. The idea is to have a sample app where for an order, you add a list of the articles, and you generate an invoice. You can also export the invoice as a PDF. The backend is built using Laravel and all of them is under same repository. Bad practice, I know, but it was a fun project :D
mytodoapp: a todo app using React: I built a sample todo app using React. It was my first project on my web development journey. I learned a lot about React, Git and how to deploy a React app on GitHub pages.
and a lot more you can find on my GitHub. 🌟
Found this interesting?
Let me know if you have any comments or ideas on how I can improve. I’m all ears! 👂 I’ll be updating regularly on my progress and any news, so keep an eye out for more. Thank you for reading! 💖